1. miRNA expression profiling in formalin-fixed paraffin-embedded endometriosis and ovarian cancer samples
- Author
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Braicu OL, Budisan L, Buiga R, Jurj A, Achimas-Cadariu P, Pop LA, Braicu C, Irimie A, and Berindan-Neagoe I
- Subjects
endometriosis ,ovarian cancer ,formalin-fixed paraffin-embedded samples ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,lcsh:RC254-282 ,miRNA - Abstract
Ovidiu-Leonard Braicu,1 Liviuta Budisan,2 Rares Buiga,2,3 Ancuta Jurj,2 Patriciu Achimas-Cadariu,1,4 Laura Ancuta Pop,2 Cornelia Braicu,2 Alexandru Irimie,1,4 Ioana Berindan-Neagoe2,5,6 1Department of Surgery, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 2Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 3Pathology Department, The Oncology Institute Prof. Dr. Ion Chiricuta, Cluj-Napoca, 4Department of Surgical Oncology, The Oncology Institute Prof. Dr. Ion Chiricuta, Cluj-Napoca, 5MEDFUTURE-Research Center for Advanced Medicine, University of Medicine and Pharmacy Iuliu-Hatieganu, Cluj-Napoca, 6Department of Functional Genomics, Proteomics and Experimental Pathology, The Oncology Institute Prof. Dr. Ion Chiricuta, Cluj-Napoca, Romania Abstract: Endometriosis is an inflammatory pathology associated with a negative effect on life quality. Recently, this pathology was connected to ovarian cancer, in particular with endometrioid ovarian cancer. microRNAs (miRNAs) are a class of RNA transcripts ~19–22 nucleotides in length, the altered miRNA pattern being connected to pathological status. miRNAs are highly stable transcripts, and these can be assessed from formalin-fixed paraffin-embedded (FFPE) samples leading to the identification of miRNAs that could be developed as diagnostic and prognostic biomarkers, in particular those involved in malignant transformation. The aim of our study was to evaluate miRNA expression pattern in FFPE samples from endometriosis and ovarian cancer patients using PCR-array technology and also to compare the differential expression pattern in ovarian cancer versus endometriosis. For the PCR-array study, we have used nine macrodissected FFPE samples from endometriosis tissue, eight samples of ovarian cancers and five normal ovarian tissues. Quantitative real-time PCR (qRT-PCR) was used for data validation in a new patient cohort of 17 normal samples, 33 endometriosis samples and 28 ovarian cancer macrodissected FFPE samples. Considering 1.5-fold expression difference as a cut-off level and a P-value
- Published
- 2017